Sae‐Ryung Kang

954 citations
54 papers · 637 indexed · h-index 14
Topics
Medical Imaging Techniques and Applications (14 papers)Radiomics and Machine Learning in Medical Imaging (14 papers)Lymphoma Diagnosis and Treatment (10 papers)

In The Last Decade

Sae‐Ryung Kang

53 papers receiving 630 citations

Peers

Sae‐Ryung Kang
Comparison fields: 5 of 90
  • Radiology, Nuclear Medicine and Imaging 301
  • Biomedical Engineering 127
  • Pulmonary and Respiratory Medicine 114
  • Biotechnology 98
  • Surgery 74
Replace Su Woong Yoo with:
Su Woong Yoo South Korea
Carlos Fernández Moro Sweden
Hank Schmidt United States
Murali Rajaraman Canada
Christoph T. Germer Germany
Farrah J. Wolf United States
Zhenjiang Li China
Johnny Gutierrez United States
Wenming Wu China
Kerri A. Simo United States
Sae‐Ryung Kang relative to Su Woong Yoo South Korea Su Woong Yoo's profile →
Citations per field
00.5×1.5×
Su Woong Yoo · 1×
Citations per year

Countries citing papers authored by Sae‐Ryung Kang

Since Specialization
Citations

This map shows the geographic impact of Sae‐Ryung Kang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sae‐Ryung Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sae‐Ryung Kang more than expected).

Fields of papers citing papers by Sae‐Ryung Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sae‐Ryung Kang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sae‐Ryung Kang. The network helps show where Sae‐Ryung Kang may publish in the future.

Co-authorship network of co-authors of Sae‐Ryung Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Sae‐Ryung Kang. A scholar is included among the top collaborators of Sae‐Ryung Kang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sae‐Ryung Kang. Sae‐Ryung Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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4 0
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7 21
8 16
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10 49
11 34
12 21
13 7
14 6
15 8
16 14
17 3
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20 45

About Sae‐Ryung Kang

Sae‐Ryung Kang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Geriatrics and Gerontology, having authored 54 papers that have together received 637 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (14 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Lymphoma Diagnosis and Treatment (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (301 citations), Biotechnology (98 citations) and Health Informatics (5 citations). Sae‐Ryung Kang has collaborated with scholars based in South Korea, United States and Bangladesh. Frequent co-authors include Jung‐Joon Min, Hee‐Seung Bom, Su Woong Yoo, Jahae Kim, Ho‐Chun Song, Sang‐Geon Cho, Seong Young Kwon, Jong-Ryool Oh, Ari Chong and In‐Jae Oh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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